ID 原文 译文
11284 其次,提出基于禁忌搜索(tabu search,TS)的随机编号交叉算子,提高种群的多样性; Secondly, based on tabu search (tabu search, TS) of the random number crossover operator, to improve the diversity of population;
11285 最后,采用基于模拟退火(simulated annealing,SA)的变异,提高个体质量。 Finally, based on simulated annealing (simulated annealing, SA), improve the quality of the individual. ‭
11286 实验结果表明,与其他遗传算法(genetic algorithm,GA)相比,MHGA可以得到更小的任务调度时间和更快的最优解搜索能力。 The experimental results show that, with other genetic algorithm (based algorithm, GA) compared to the MHGA can get smaller task scheduling time optimal solution search ability and faster.
11287 利用目标辐射源空间分布的稀疏性,提出了一种基于稀疏表示的多快拍联合波达方向(direction of arrival,DOA)估计方法。 Using targeted the thinning of the spatial distribution of radiation source, put forward a kind of based on sparse representation of how fast take joint DOA (direction of concatenated, DOA) estimation method.
11288 该方法首先利用采样数据矩阵大奇异值对应的左奇异向量估计信号子空间,然后采用加权迭代最小方差方法对信号空间进行稀疏表示。 The method of sampling data first large matrix singular value left singular vectors of the corresponding estimate signal subspace, and then the weighted iterative least variance method is adopted to signal sparse representation space.
11289 与传统的角度高分辨估计方法不同,该方法没有利用样本的统计信息,因而对具有任意相关性的信号源能进行有效的波达方向估计,不需要进行去相关处理,且具有很高的分辨力及估计精度。 Different from the Angle of the traditional high resolution estimation method, the method without the use of sample statistics, thus to have any correlation of signal source can effectively doa estimation, don't need to deal with the related, and has high resolution and accuracy.
11290 实验表明在该方法能准确的对目标源方位进行估计,且极大地降低了稀疏表示的计算量。 Experiments show that the method can accurately estimate of target source azimuth, and the sparse representation of computation is greatly reduced.
11291 机会网络中的节点能量受限且难以补充,其能量消耗情况影响着整个网络的生命周期和性能。 Opportunities in the network node energy limited and hard to complement, the energy consumption situation affects the life cycle and performance of the entire network.
11292 针对社区机会网络中部分活跃节点频繁转发数据所导致的能量消耗过快问题,提出一种节点剩余能量均衡的机会网络路由机制。 ‭Active part in the work of the community the opportunity to network node energy consumption too fast problems caused by frequent forwarding data, presents a node residual energy equilibrium network routing mechanism.
11293 根据节点剩余能量及其在网络中的活跃程度感知其综合转发能力,进而合理地选择下一跳节点,有效减少不必要的转发次数,均衡网络负载。 On the basis of the residual energy of nodes and its activity in the network sense its forward comprehensive ability, and rationally choose the next-hop node, reduce unnecessary forwarding number, balance the network load.